Related Experiment Videos
Intraindividual variability in arsenic methylation in a U.S. population
Craig Steinmaus1, Yan Yuan, Dave Kalman
1Arsenic Health Effects Research Program, School of Public Health, University of California, 140 Warren Hall, Berkely, CA 94720-7360, USA.
Summary
Individual arsenic methylation patterns are relatively stable over time, but some variability exists. This variation in measuring arsenic metabolites may affect cancer risk estimates in related studies.
Area of Science:
- Environmental Health
- Toxicology
- Cancer Epidemiology
Background:
- Reduced methylation capacity of inorganic arsenic is linked to increased cancer risk.
- Previous studies relied on single time-point measurements of urinary arsenic metabolites.
- The long latency of arsenic-induced cancers raises questions about the validity of recent methylation pattern estimations.
Purpose of the Study:
- To assess intraindividual variation in arsenic methylation capacity over one year.
- To evaluate the stability of arsenic methylation patterns in individuals with low to moderate exposure.
- To determine the impact of measurement imprecision and temporal variation on methylation pattern assessment.
Main Methods:
- Analyzed urinary inorganic arsenic, monomethylarsonate, and dimethylarsinate distribution in 81 subjects.
- Collected multiple urine samples from each subject over a 1-year period.
- Conducted duplicate sample analyses to assess laboratory measurement imprecision.
Main Results:
- Intraclass correlation coefficients (ICCs) for arsenic species proportions between samples 258 days apart ranged from 0.45 to 0.49.
- ICCs for duplicate sample analyses of species proportions ranged from 0.63 to 0.76.
- ICCs for duplicate sample analyses of arsenic species concentrations were high (0.87–0.93).
Conclusions:
- Individual arsenic methylation patterns demonstrate moderate stability over time.
- Variability in measurements can arise from laboratory imprecision and intraindividual changes.
- This variability may lead to misclassification of methylation status, potentially biasing cancer risk estimates towards the null.